黄永祯

基本信息

黄永祯
  • 黄永祯 国家万人计划-青年拔尖获得者
  • 职称:副教授/博导
  • 研究方向:计算机视觉、模式识别
  • 地址:手机赌博电子楼401
  • 邮箱:huangyongzhen@bnu.edu.cn

简介

黄永祯:2006年本科毕业于华中科技大学,2011年博士毕业于中科院自动化所(师从谭铁牛院士),2011年加入中科院自动化所模式识别国家重点实验室,2021年加入手机赌博任副教授/博士生导师。黄永祯博士在人工智能领域研究十余年,出版英文专著1部,发表论文80多篇,包括IEEE TPAMI、TIP、IJCV、CVPR、ICCV、ECCV、NIPS、AAAI等。申请国内外专利200多项(已授权近100项),获得10余项国内外荣誉和奖励以及近10项计算机视觉竞赛冠亚军,获得中科院科技成果转化一等奖、北京市科学技术二等奖,入选第四批国家万人计划(青年拔尖)、北京市科技新星、北京市青年骨干人才、中科院青促会。

社会兼职

  • Associate Editor, Neurocomputing(2013-2018)
  • 副主任,中国图象与图形学学会视觉检测专业委员会
  • 理事,中国图象与图形学学会
  • 理事,全国人工智能计量协同创新联盟
  • 委员,中国计算机学会计算机视觉专业委员会
  • 委员,中国人工智能学会模式识别专业委员会

主持的部分项目

  • 国家万人计划-青年拔尖项目,远距离步态识别,205万
  • 中国科学院-STS双创引导项目,远距离步态识别技术与应用,200万元
  • 国家自然科学基金-面上,基于物体窗口深度表达的目标分类与检测,78万元
  • 国家自然科学基金-青年,基于特征结构关系的目标分类研究,24万元
  • 美的公司合作项目,空调系统步态识别技术开发项目,123万元
  • 360公司合作项目,基于深度学习的物体识别,60万元
  • 唯品会公司合作项目,智能服装检索,30万元
  • 三星公司合作项目,高精度人形分割研究,20万美元
  • 腾讯公司犀牛鸟项目,基于深度学习的目标检测研究,10万元

奖励与荣誉

  • 2019年 中国生物特征识别大会最佳论文
  • 2018年 北京市科学技术二等奖
  • 2018年 第四批国家万人计划(青年拔尖)
  • 2017年 中科院科技成果转化一等奖
  • 2017年 北京市科技新星
  • 2016年 中国模式识别大会最佳论文
  • 2015年 中国计算机视觉大会最佳学生论文
  • 2015年 国际低功耗目标识别竞赛(LPIRC)亚军、最低功耗奖
  • 2013年 百度人形图像分割大赛冠军
  • 2012年 全国人工智能学会优秀博士论文(全国共5篇)
  • 2011年 北京市专利奖二等奖
  • 2011年 PASCAL VOC国际目标检测竞赛冠军、目标分类竞赛亚军
  • 2010年PASCAL VOC国际目标检测竞赛冠军
  • 2010年 中国专利优秀奖

代表论著

代表性论著和报告

Book

  • Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer(国际知名科技出版社), ISBN: 978-3-662-44999-8, 2015.

 

Journal Articles

  • Yongzhen Huang, Zifeng Wu, Liang Wang, and Tieniu Tan, Feature Coding in Image Classification: A Comprehensive Study, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, 模式识别顶刊,IF: 17.861), 2014, 36(3), 493-506.
  • Chunshui Cao, Yongzhen Huang, Yi Yang, Liang Wang, Zilei Wang, and Tieniu Tan, Feedback Convolutional Neural Network for Visual Localization and Segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 17.861) , 2018.
  • Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang, and Tieniu Tan, A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI, IF: 17.861), 2017, 39(2), 209-226.
  • Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang, and Tieniu Tan, Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activities and Events, International Journal of Computer Vision (IJCV, 计算机视觉顶刊, IF:11.541), 2016, 119(3), 329-345.
  • Kaihao Zhang, Yongzhen Huang, Yong Du, and Liang Wang, Facial Expression Recognition Based on Deep Evolutional Spatial-Temporal Networks, IEEE Transactions on Image Processing (TIP,图像处理顶刊, IF: 9.34), 2017, 26(9), 4193-4203.
  • Yuqi Zhang, Yongzhen Huang, Shiqi Yu, Liang Wang, Cross-view Gait Recognition by Discriminative Feature Learning, IEEE Transactions on Image Processing (TIP,IF: 9.34), 2019.
  • Yongzhen Huang, Kaiqi Huang, Dacheng Tao, Xuelong Li and Tieniu Tan, Enhanced Biologically Inspired Model for Object Recognition, IEEE Transactions on Systems, Man and Cybernetics, Part B (TSMC-B, IF: 10.387), 2011, 41(6), 1668-1680.
  • Yucan Zhou, Yongzhen Huang, Qinghua Hu, and Liang Wang, Kernel Based Semantic Hashing for Gait Retrieval, IEEE Transactions on Circuits and System for Video Technology (TCSVT, IF: 4.133), 2017.
  • Jianwei Ding, Yongzhen Huang, Wei Liu, and Kaiqi Huang, Severely Blurred Object Tracking by Learning Deep Image Representations, IEEE Transactions on Circuits and System for Video Technology (TCSVT, IF: 4.133), 2015.
  • Zifeng Wu, Yongzhen Huang, and Liang Wang, Learning Representative Deep Features for Image Set Analysis, IEEE Transactions on Multimedia (TMM, IF: 6.051), 2015.
  • Yuqi Zhang, Yongzhen Huang, Liang Wang, A comprehensive study on gait biometrics via a joint CNN-based method, Pattern Recognition (IF: 7.196), 2019.
  • Shiqi Yu, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. Garcia, Yongzhen Huang, and Norman Poh, GaitGANv2: Invariant Gait Feature Extraction Using Generative Adversarial Networks, Pattern Recognition (IF: 7.196), 2019.
  • Chunfeng Song, Yongzhen Huang, Liang Wang, GaitNet: An End-to-end Network for Gait Based Human Identification, Pattern Recognition (IF: 7.196), 2019.
  • Rijun Liao, Shiqi Yu, Weizhi An, Yongzhen Huang, A Model-based Gait Recognition Method with Body Pose and Human Prior Knowledge, Pattern Recognition (IF: 7.196), 2020.
  • Saihui Hou, Xu Liu, Chunshui Cao, and Yongzhen Huang, Set Residual Network for Silhouette-based Gait Recognition, IEEE Transaction on Biometrics, Behavior and Identity Science (TBIOM), 2021.

 

Conference Articles

  • Yongzhen Huang, Kaiqi Huang, Liangsheng Wang, Dacheng Tao, Tieniu Tan and Xuelong Li, Enhanced Biologically Inspired Model, IEEE Conference on Computer Vision and Pattern Recognition (CVPR,计算机视觉顶会), 2008.
  • Yongzhen Huang, Kaiqi Huang, Yinan Yu, Tieniu Tan, Salient Coding for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2011.
  • Yongzhen Huang, Kaiqi Huang, Chong Wang, Tieniu Tan, Exploring Visual Words’ relation for Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011.
  • Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2015.
  • Chao Fan, Yunjie Peng, Chunshui Cao, Xu Liu, Saihui Hou, Jiannan Chi, Yongzhen Huang, Qing Li, Zhiqiang He, GaitPart: Temporal Part-based Model for Gait Recognition, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.
  • Fang Zhao, Yongzhen Huang, Liang Wang, and Tieniu Tan, Relevance Topic Model for Unstructured Social Group Activity Recognition, Conference on Neural Information Processing Systems (NIPS,机器学习顶会), 2013.
  • Chunshui Cao, Yongzhen Huang et al., Look and Think Twice: Capturing Top-Down Visual Attention with Feedback Convolutional Neural Networks, IEEE Conference on Computer Vision (ICCV,计算机视觉顶会), 2015.
  • Chunshui Cao, Yongzhen Huang, Zilei Wang, Liang Wang, Ninglong Xu, Tieniu Tan, Lateral Inhibition-inspired Convolutional Neural Network for Visual Attention and Saliency Detection, Association for the Advancement of Artificial Intelligence (AAAI,人工智能顶会), 2018.
  • Saihui Hou, Chunshui Cao, Xu Liu, and Yongzhen Huang, Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition, European Conference on Computer Vision (ECCV,计算机视觉顶会), 2020.
  • Wei Tang, Yongzhen Huang, Liang Wang, 1000 fps Highly Accurate Eye Detection with Stacked Denoising Autoencoder, Chinese Conference on Computer Vision (CCCV, Best Student Paper Award), 2015.
  • Muhammad Rauf, Yongzhen Huang and Liang Wang, Gait Retrieval: A Deep Hashing Method for People Retrieval in Video, Chinese Conference on Pattern Recognition (CCPR, Best Paper Award), 2016.
  • Xinhui Wu, Shiqi Yu and Yongzhen Huang, Multiscale Temporal Network for Video-based Gait Recognition, Chinese Conference on Biometrics Recognition (CCBR, Best Paper Award), 2019.

 

Tutorial

  • Yongzhen Huang, Liang Wang and Tieniu Tan, Feature Coding for Visual Recognition, Tutorial of International Conference on Pattern Recognition (ICPR), Stockholm, Sweden, 2014.
  • Yongzhen Huang, Liang Wang and Tieniu Tan, Human identification at a distance via gait recognition, Tutorial of International Conference on Pattern Recognition (ICPR), Cancun, Mexico, 2016.
  • Yongzhen Huang, Man Zhang, Daoliang Tan, and Liang Wang, Human identification at a distance by gait and face analysis, Tutorial of International Conference on Pattern Recognition (ICPR), Beijing, China, 2018.
  • Yongzhen Huang, Liang Wang, and Tieniu Tan, Human identification at a distance by gait and face analysis, Tutorial of European Conference on Computer Vision (ECCV), Munich, German, 2018.
  • Shiqi Yu, Yongzhen Huang, Yasushi Makihara, Daigo Muramatsu, Liang Wang, Yasushi Yagi and Tieniu Tan, Human Identification at a Distance by Gait Recognition, Tutorial of Association for the Advancement of Artificial Intelligence (AAAI), Hawaii, USA, 2019.